The Future is a REALLY DARK Place
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AGI Unbound with Gold Darr: The Risks of Hard-Coded Intelligence
"About this interview — Gold Darr In this episode, AI researcher, technologist, and entrepreneur Gold Darr argues that the future of AGI depends on embracing complexity rather than simplifying it away. Drawing on decades of work across mathematics, agentic AI, and large-scale technology commercialization, Darr explains why binary decision-making and hard-coded assumptions fail in domains like healthcare, economics, and governance. The conversation spans decentralized healthcare, personalized medicine, open and decentralized science, unused university patents, and mass customization as the next industrial revolution. Darr also addresses the existential risks of centralized AI systems, making the case that decentralization, data integrity, and human-centered values are essential if AGI is to remain beneficial rather than destructive.
About Gold Darr Gold Darr is an AI researcher, technologist, and entrepreneur with over fifteen years of experience working at the intersection of mathematics, agentic AI, and large-scale systems design. She has founded and advised dozens of companies, commercialized hundreds of technologies across multiple industries, and worked with governments, enterprises, and research institutions worldwide. Her work focuses on building complex, adaptable intelligence systems and advocating for decentralized, human-centered approaches to AGI development."
"SingularityNET was founded by Dr. Ben Goertzel with the mission of creating a decentralized, democratic, inclusive and beneficial Artificial General Intelligence. An ‘AGI’ that is not dependent on any central entity, that is open for anyone and not restricted to the narrow goals of a single corporation or even a single country.
SingularityNET team includes seasoned engineers, scientists, researchers, entrepreneurs, and marketers. Our core platform and AI teams are further complemented by specialized teams devoted to application areas such as finance, robotics, biomedical AI, media, arts and entertainment."